"Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests...

Activities performed in organizations are coordinated via communication between the people involved. The sentences used to communicate are naturally structured by subject, verb, and object. The subject describes the actor, the verb the action and the object what is affected by the action....

Data Science and Big Data Analyticsis about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and...

Cover -- Title Page -- Copyright -- Contents -- About the Author -- Preamble -- 1 Financial Machine Learning as a Distinct Subject -- 1.1 Motivation -- 1.2 The Main Reason Financial Machine Learning Projects Usually Fail -- 1.2.1 The Sisyphus Paradigm -- 1.2.2 The Meta-Strategy Paradigm -- 1.3...

This book is about harnessing the power of data for new insights. The book covers the breadth of activities, methods, and tools that data scientists use. The content focuses on concepts, principles and practical applications that are relevant to any industry and technology environment.--

This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some...